本文设计了基于OpenCv车牌识别系统，通过系统对车牌图像进行分析以及

This paper designs a license plate recognition system based on OpenCv, which analyzes and processes license plate images through the system. In the process of image analysis and processing, image preprocessing, tilt correction, binarization, and morphological processing are used in image processing. , The template matching method is used to recognize the segmented characters, and finally the recognition result is displayed. Due to the limitations of objective conditions and time, there are still many deficiencies in the research of this paper, and there are many aspects that need to be improved. Because of weather, lighting, license plate pollution and other reasons, the complex background of the license plate image will seriously affect the subsequent processing of the image, so it is necessary to restore and reconstruct the image accordingly to improve the image quality. Because the license plate is inclined, the license plate characters are untidy, and the license plate itself is stained,

In this paper, based on the OpenCv license plate recognition system, through the system of the analysis and processing of license plate images, in the process of image analysis and processing, the use of image pre-processing in image processing, tilt correction, dual-value and morphological processing methods, using template matching methods to identify the split characters, and finally display the recognition results. Due to objective conditions and time constraints, there are still many shortcomings in the study of this paper, there are many aspects that need to be improved. Because of the weather, light, license plate defaced and other reasons, the complex background of license plate image will seriously affect the processing of the image after, so it is necessary to the image to restore and rebuild the corresponding image, improve the image quality. Due to the presence of tilt, license plate characters untidy, such as the license plate itself defaced,

In this paper, a license plate recognition system based on OpenCV is designed. The license plate image is analyzed and processed by the system. In the process of image analysis and processing, image preprocessing, tilt correction, binarization and morphological processing are used. The segmented characters are recognized by template matching, and the recognition results are displayed finally. Due to the limitation of objective conditions and time, there are still many deficiencies in this study, and many aspects need to be improved. Because of the weather, light, license plate pollution and other reasons, the complex background of license plate image will seriously affect the image processing, so it is necessary to restore and reconstruct the image to improve the image quality. Because the license plate is tilted, the characters of the license plate are not neat and dirty,<br>